The Resource Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach, by K.G. Manton, Igor Akushevich, Julia Kravchenko, (electronic resource)

Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach, by K.G. Manton, Igor Akushevich, Julia Kravchenko, (electronic resource)

Label
Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach
Title
Cancer Mortality and Morbidity Patterns in the U.S. Population
Title remainder
An Interdisciplinary Approach
Statement of responsibility
by K.G. Manton, Igor Akushevich, Julia Kravchenko
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
This book is the first of its kind to describe interdisciplinary approaches to biomedical studies. It views analyses of biomedical data sets, such as cancer morbidity and mortality, from a different and richer than classic epidemiological perspective by using mathematical modeling methods, including ones providing insights into probable mechanisms of human carcinogenesis. The book will be useful for many specialists, e.g., epidemiologists, oncologists, medical researchers, biologists, public health and environmental specialists, and specialists in mathematical modeling. Medical, biology and math undergraduates and postgraduates, as well as basic and applied researchers attempting to extend their studies in collaboration with other specialists in interdisciplinary teams, will find practical information here. Biomedical specialists could be interested in historical aspects of cancer treatment and prevention, mechanisms of carcinogenesis, cancer risk factors, cancer mortality and morbidity trends in the U.S. over a more than 50-year period, as well as specific features of cancer histotypes, and recent approaches to cancer prevention. Readers interested in analytic aspects can find information on existing and innovative approaches used in interdisciplinary studies such as stochastic process models, microsimulation of interventions, and empirical Bayes approaches. This book was written by authors with different backgrounds who teamed in an interdisciplinary group. Kenneth G. Manton, Ph.D. (Demography) is Research Professor of Demographic Studies at Duke University (Durham, NC). He was Head of the W.H.O. Collaborating Center for Research and Training in the Methods of Assessing Risk and Forecasting Health Status Trends. He has authored more than 450 peer-reviewed publications, including several books. Igor Akushevich, Ph.D. (Theoretical and Mathematical Physics), Center for Population Health and Aging at Duke University, authored more than 70 peer-reviewed publications. Julia Kravchenko, MD, Ph.D. (Internal Diseases, Biochemistry), Duke Comprehensive Cancer Center in the School of Medicine. She is author of more than 30 peer-reviewed publications
Member of
Is Subseries of
http://library.link/vocab/creatorName
Manton, K.G
Dewey number
  • 614.59990973
  • 616.99/4071
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • QBUPd7FgOkc
  • 4yMmW_-L4Oc
  • BXxQGoXm0kg
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Akushevich, Igor.
  • Kravchenko, Julia.
Series statement
Statistics for Biology and Health,
http://library.link/vocab/subjectName
  • Statistics
  • Oncology
  • Bioinformatics
  • Epidemiology
  • Demography
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Cancer Research
  • Bioinformatics
  • Computational Biology/Bioinformatics
  • Epidemiology
  • Demography
Label
Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach, by K.G. Manton, Igor Akushevich, Julia Kravchenko, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Cancer Contra Human: Cohabitation with Casualties? -- Cancer Modeling: How Far Can We Go? -- Cancer Risk Factors -- Standard and Innovative Statistical Methods for Empirically Analyzing Cancer Morbidity and Mortality -- Stochastic Methods of Analysis -- U.S. Cancer Morbidity and Mortality Trends -- U.S. Cancer Morbidity: Modeling Age-Patterns of Cancer Histotypes -- Risk Factors Intervention -- Cancer Prevention
Dimensions
unknown
Edition
1st ed. 2009.
Extent
1 online resource (469 p.)
Form of item
online
Isbn
9781281950109
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-78193-8
Specific material designation
remote
System control number
  • (CKB)1000000000546231
  • (EBL)417459
  • (OCoLC)613087129
  • (SSID)ssj0000117322
  • (PQKBManifestationID)11128923
  • (PQKBTitleCode)TC0000117322
  • (PQKBWorkID)10042653
  • (PQKB)11397597
  • (DE-He213)978-0-387-78193-8
  • (MiAaPQ)EBC417459
  • (EXLCZ)991000000000546231
Label
Cancer Mortality and Morbidity Patterns in the U.S. Population : An Interdisciplinary Approach, by K.G. Manton, Igor Akushevich, Julia Kravchenko, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Cancer Contra Human: Cohabitation with Casualties? -- Cancer Modeling: How Far Can We Go? -- Cancer Risk Factors -- Standard and Innovative Statistical Methods for Empirically Analyzing Cancer Morbidity and Mortality -- Stochastic Methods of Analysis -- U.S. Cancer Morbidity and Mortality Trends -- U.S. Cancer Morbidity: Modeling Age-Patterns of Cancer Histotypes -- Risk Factors Intervention -- Cancer Prevention
Dimensions
unknown
Edition
1st ed. 2009.
Extent
1 online resource (469 p.)
Form of item
online
Isbn
9781281950109
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-78193-8
Specific material designation
remote
System control number
  • (CKB)1000000000546231
  • (EBL)417459
  • (OCoLC)613087129
  • (SSID)ssj0000117322
  • (PQKBManifestationID)11128923
  • (PQKBTitleCode)TC0000117322
  • (PQKBWorkID)10042653
  • (PQKB)11397597
  • (DE-He213)978-0-387-78193-8
  • (MiAaPQ)EBC417459
  • (EXLCZ)991000000000546231

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